Pandas

Dataset statistics

Number of variables	15
Number of observations	48842
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	49
Duplicate rows (%)	0.1%
Total size in memory	3.0 MiB
Average record size in memory	64.0 B

Variable types

Numeric	12
Categorical	3

Alerts

Dataset has 49 (0.1%) duplicate rows	Duplicates
`relationship` is highly correlated with `gender`	High correlation
`gender` is highly correlated with `relationship`	High correlation
`relationship` is highly correlated with `gender`	High correlation
`gender` is highly correlated with `relationship`	High correlation
`relationship` is highly correlated with `gender`	High correlation
`gender` is highly correlated with `relationship`	High correlation
`age` is highly correlated with `marital-status`	High correlation
`education` is highly correlated with `educational-num`	High correlation
`educational-num` is highly correlated with `education` and 1 other fields	High correlation
`marital-status` is highly correlated with `age` and 1 other fields	High correlation
`occupation` is highly correlated with `educational-num`	High correlation
`relationship` is highly correlated with `marital-status` and 2 other fields	High correlation
`race` is highly correlated with `native-country`	High correlation
`gender` is highly correlated with `relationship`	High correlation
`native-country` is highly correlated with `race`	High correlation
`income` is highly correlated with `relationship`	High correlation
`workclass` has 1432 (2.9%) zeros	Zeros
`education` has 1389 (2.8%) zeros	Zeros
`marital-status` has 6633 (13.6%) zeros	Zeros
`occupation` has 5611 (11.5%) zeros	Zeros
`relationship` has 19716 (40.4%) zeros	Zeros
`capital-gain` has 44807 (91.7%) zeros	Zeros
`capital-loss` has 46560 (95.3%) zeros	Zeros

Reproduction

Analysis started	2022-10-24 04:13:05.394080
Analysis finished	2022-10-24 04:13:30.656850
Duration	25.26 seconds
Software version	pandas-profiling v3.1.1
Download configuration	config.json

age
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	74
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	38.64358544

Minimum	17
Maximum	90
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	381.7 KiB

Quantile statistics

Minimum	17
5-th percentile	19
Q1	28
median	37
Q3	48
95-th percentile	63
Maximum	90
Range	73
Interquartile range (IQR)	20

Descriptive statistics

Standard deviation	13.71050993
Coefficient of variation (CV)	0.35479394
Kurtosis	-0.1842687406
Mean	38.64358544
Median Absolute Deviation (MAD)	10
Skewness	0.5575803166
Sum	1887430
Variance	187.9780827
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
36	1348	2.8%
35	1337	2.7%
33	1335	2.7%
23	1329	2.7%
31	1325	2.7%
34	1303	2.7%
37	1280	2.6%
28	1280	2.6%
30	1278	2.6%
38	1264	2.6%
Other values (64)	35763	73.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
17	595	1.2%
18	862	1.8%
19	1053	2.2%
20	1113	2.3%
21	1096	2.2%
22	1178	2.4%
23	1329	2.7%
24	1206	2.5%
25	1195	2.4%
26	1153	2.4%

Value	Count	Frequency (%)
90	55	0.1%
89	2	< 0.1%
88	6	< 0.1%
87	3	< 0.1%
86	1	< 0.1%
85	5	< 0.1%
84	13	< 0.1%
83	11	< 0.1%
82	15	< 0.1%
81	37	0.1%

workclass
Real number (ℝ)

ZEROS

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.870439376

Minimum	-1
Maximum	7
Zeros	1432
Zeros (%)	2.9%
Negative	2799
Negative (%)	5.7%
Memory size	47.8 KiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	3
median	3
Q3	3
95-th percentile	5
Maximum	7
Range	8
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.46423368
Coefficient of variation (CV)	0.5101078575
Kurtosis	1.64197141
Mean	2.870439376
Median Absolute Deviation (MAD)	0
Skewness	-0.7479097326
Sum	140198
Variance	2.14398027
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
3	33906	69.4%
5	3862	7.9%
1	3136	6.4%
-1	2799	5.7%
6	1981	4.1%
4	1695	3.5%
0	1432	2.9%
7	21	< 0.1%
2	10	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	2799	5.7%
0	1432	2.9%
1	3136	6.4%
2	10	< 0.1%
3	33906	69.4%
4	1695	3.5%
5	3862	7.9%
6	1981	4.1%
7	21	< 0.1%

Value	Count	Frequency (%)
7	21	< 0.1%
6	1981	4.1%
5	3862	7.9%
4	1695	3.5%
3	33906	69.4%
2	10	< 0.1%
1	3136	6.4%
0	1432	2.9%
-1	2799	5.7%

fnlwgt
Real number (ℝ_≥0)

Distinct	28523
Distinct (%)	58.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	189664.1346

Minimum	12285
Maximum	1490400
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	381.7 KiB

Quantile statistics

Minimum	12285
5-th percentile	39615.4
Q1	117550.5
median	178144.5
Q3	237642
95-th percentile	379481.65
Maximum	1490400
Range	1478115
Interquartile range (IQR)	120091.5

Descriptive statistics

Standard deviation	105604.0254
Coefficient of variation (CV)	0.5567949135
Kurtosis	6.057848212
Mean	189664.1346
Median Absolute Deviation (MAD)	60295.5
Skewness	1.438891879
Sum	9263575662
Variance	1.115221019 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
203488	21	< 0.1%
190290	19	< 0.1%
120277	19	< 0.1%
125892	18	< 0.1%
126569	18	< 0.1%
99185	17	< 0.1%
126675	17	< 0.1%
113364	17	< 0.1%
186934	16	< 0.1%
111567	16	< 0.1%
Other values (28513)	48664	99.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
12285	1	< 0.1%
13492	1	< 0.1%
13769	3	< 0.1%
13862	1	< 0.1%
14878	1	< 0.1%
18827	1	< 0.1%
19214	1	< 0.1%
19302	6	< 0.1%
19395	2	< 0.1%
19410	2	< 0.1%

Value	Count	Frequency (%)
1490400	1	< 0.1%
1484705	1	< 0.1%
1455435	1	< 0.1%
1366120	1	< 0.1%
1268339	1	< 0.1%
1226583	1	< 0.1%
1210504	1	< 0.1%
1184622	1	< 0.1%
1161363	1	< 0.1%
1125613	1	< 0.1%

education
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.2884198

Minimum	0
Maximum	15
Zeros	1389
Zeros (%)	2.8%
Negative	0
Negative (%)	0.0%
Memory size	47.8 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	9
median	11
Q3	12
95-th percentile	15
Maximum	15
Range	15
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	3.874492433
Coefficient of variation (CV)	0.3765877081
Kurtosis	0.6765763119
Mean	10.2884198
Median Absolute Deviation (MAD)	2
Skewness	-0.9362986762
Sum	502507
Variance	15.01169162
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
11	15784	32.3%
15	10878	22.3%
9	8025	16.4%
12	2657	5.4%
8	2061	4.2%
1	1812	3.7%
7	1601	3.3%
0	1389	2.8%
5	955	2.0%
14	834	1.7%
Other values (6)	2846	5.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	1389	2.8%
1	1812	3.7%
2	657	1.3%
3	247	0.5%
4	509	1.0%
5	955	2.0%
6	756	1.5%
7	1601	3.3%
8	2061	4.2%
9	8025	16.4%

Value	Count	Frequency (%)
15	10878	22.3%
14	834	1.7%
13	83	0.2%
12	2657	5.4%
11	15784	32.3%
10	594	1.2%
9	8025	16.4%
8	2061	4.2%
7	1601	3.3%
6	756	1.5%

educational-num
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	16
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.07808853

Minimum	1
Maximum	16
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	381.7 KiB

Quantile statistics

Minimum	1
5-th percentile	5
Q1	9
median	10
Q3	12
95-th percentile	14
Maximum	16
Range	15
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.570972756
Coefficient of variation (CV)	0.2551051966
Kurtosis	0.6257452728
Mean	10.07808853
Median Absolute Deviation (MAD)	1
Skewness	-0.3165248567
Sum	492234
Variance	6.60990091
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=16)

Value	Count	Frequency (%)
9	15784	32.3%
10	10878	22.3%
13	8025	16.4%
14	2657	5.4%
11	2061	4.2%
7	1812	3.7%
12	1601	3.3%
6	1389	2.8%
4	955	2.0%
15	834	1.7%
Other values (6)	2846	5.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	83	0.2%
2	247	0.5%
3	509	1.0%
4	955	2.0%
5	756	1.5%
6	1389	2.8%
7	1812	3.7%
8	657	1.3%
9	15784	32.3%
10	10878	22.3%

Value	Count	Frequency (%)
16	594	1.2%
15	834	1.7%
14	2657	5.4%
13	8025	16.4%
12	1601	3.3%
11	2061	4.2%
10	10878	22.3%
9	15784	32.3%
8	657	1.3%
7	1812	3.7%

marital-status
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.618750256

Minimum	0
Maximum	6
Zeros	6633
Zeros (%)	13.6%
Negative	0
Negative (%)	0.0%
Memory size	47.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	2
median	2
Q3	4
95-th percentile	5
Maximum	6
Range	6
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.507702551
Coefficient of variation (CV)	0.5757336146
Kurtosis	-0.5361939917
Mean	2.618750256
Median Absolute Deviation (MAD)	2
Skewness	-0.01632824007
Sum	127905
Variance	2.273166981
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
2	22379	45.8%
4	16117	33.0%
0	6633	13.6%
5	1530	3.1%
6	1518	3.1%
3	628	1.3%
1	37	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	6633	13.6%
1	37	0.1%
2	22379	45.8%
3	628	1.3%
4	16117	33.0%
5	1530	3.1%
6	1518	3.1%

Value	Count	Frequency (%)
6	1518	3.1%
5	1530	3.1%
4	16117	33.0%
3	628	1.3%
2	22379	45.8%
1	37	0.1%
0	6633	13.6%

occupation
Real number (ℝ)

HIGH CORRELATION
ZEROS

Distinct	15
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5.577699521

Minimum	-1
Maximum	13
Zeros	5611
Zeros (%)	11.5%
Negative	2809
Negative (%)	5.8%
Memory size	47.8 KiB

Quantile statistics

Minimum	-1
5-th percentile	-1
Q1	2
median	6
Q3	9
95-th percentile	12
Maximum	13
Range	14
Interquartile range (IQR)	7

Descriptive statistics

Standard deviation	4.230509418
Coefficient of variation (CV)	0.7584685051
Kurtosis	-1.236280489
Mean	5.577699521
Median Absolute Deviation (MAD)	4
Skewness	0.1105506005
Sum	272426
Variance	17.89720993
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=15)

Value	Count	Frequency (%)
9	6172	12.6%
2	6112	12.5%
3	6086	12.5%
0	5611	11.5%
11	5504	11.3%
7	4923	10.1%
6	3022	6.2%
-1	2809	5.8%
13	2355	4.8%
5	2072	4.2%
Other values (5)	4176	8.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	2809	5.8%
0	5611	11.5%
1	15	< 0.1%
2	6112	12.5%
3	6086	12.5%
4	1490	3.1%
5	2072	4.2%
6	3022	6.2%
7	4923	10.1%
8	242	0.5%

Value	Count	Frequency (%)
13	2355	4.8%
12	1446	3.0%
11	5504	11.3%
10	983	2.0%
9	6172	12.6%
8	242	0.5%
7	4923	10.1%
6	3022	6.2%
5	2072	4.2%
4	1490	3.1%

relationship
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.443286516

Minimum	0
Maximum	5
Zeros	19716
Zeros (%)	40.4%
Negative	0
Negative (%)	0.0%
Memory size	47.8 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	1
Q3	3
95-th percentile	4
Maximum	5
Range	5
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.602151226
Coefficient of variation (CV)	1.110071499
Kurtosis	-0.7541163751
Mean	1.443286516
Median Absolute Deviation (MAD)	1
Skewness	0.7917193051
Sum	70493
Variance	2.56688855
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
0	19716	40.4%
1	12583	25.8%
3	7581	15.5%
4	5125	10.5%
5	2331	4.8%
2	1506	3.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	19716	40.4%
1	12583	25.8%
2	1506	3.1%
3	7581	15.5%
4	5125	10.5%
5	2331	4.8%

Value	Count	Frequency (%)
5	2331	4.8%
4	5125	10.5%
3	7581	15.5%
2	1506	3.1%
1	12583	25.8%
0	19716	40.4%

race
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	381.7 KiB

4	41762
2	4685
1	1519
0	470
3	406

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	48842
Distinct characters	5
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	4
3rd row	4
4th row	2
5th row	4

Common Values

Value	Count	Frequency (%)
4	41762	85.5%
2	4685	9.6%
1	1519	3.1%
0	470	1.0%
3	406	0.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
4	41762	85.5%
2	4685	9.6%
1	1519	3.1%
0	470	1.0%
3	406	0.8%

Most occurring characters

Value	Count	Frequency (%)
4	41762	85.5%
2	4685	9.6%
1	1519	3.1%
0	470	1.0%
3	406	0.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48842	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
4	41762	85.5%
2	4685	9.6%
1	1519	3.1%
0	470	1.0%
3	406	0.8%

Most occurring scripts

Value	Count	Frequency (%)
Common	48842	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
4	41762	85.5%
2	4685	9.6%
1	1519	3.1%
0	470	1.0%
3	406	0.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	48842	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
4	41762	85.5%
2	4685	9.6%
1	1519	3.1%
0	470	1.0%
3	406	0.8%

gender
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	381.7 KiB

1	32650
0	16192

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	48842
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
1	32650	66.8%
0	16192	33.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	32650	66.8%
0	16192	33.2%

Most occurring characters

Value	Count	Frequency (%)
1	32650	66.8%
0	16192	33.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48842	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	32650	66.8%
0	16192	33.2%

Most occurring scripts

Value	Count	Frequency (%)
Common	48842	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	32650	66.8%
0	16192	33.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	48842	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	32650	66.8%
0	16192	33.2%

capital-gain
Real number (ℝ_≥0)

ZEROS

Distinct	123
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1079.067626

Minimum	0
Maximum	99999
Zeros	44807
Zeros (%)	91.7%
Negative	0
Negative (%)	0.0%
Memory size	381.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	5013
Maximum	99999
Range	99999
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	7452.019058
Coefficient of variation (CV)	6.905979641
Kurtosis	152.6930963
Mean	1079.067626
Median Absolute Deviation (MAD)	0
Skewness	11.894659
Sum	52703821
Variance	55532588.04
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	44807	91.7%
15024	513	1.1%
7688	410	0.8%
7298	364	0.7%
99999	244	0.5%
3103	152	0.3%
5178	146	0.3%
5013	117	0.2%
4386	108	0.2%
8614	82	0.2%
Other values (113)	1899	3.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	44807	91.7%
114	8	< 0.1%
401	5	< 0.1%
594	52	0.1%
914	10	< 0.1%
991	6	< 0.1%
1055	37	0.1%
1086	8	< 0.1%
1111	1	< 0.1%
1151	13	< 0.1%

Value	Count	Frequency (%)
99999	244	0.5%
41310	3	< 0.1%
34095	6	< 0.1%
27828	58	0.1%
25236	14	< 0.1%
25124	6	< 0.1%
22040	1	< 0.1%
20051	49	0.1%
18481	2	< 0.1%
15831	8	< 0.1%

capital-loss
Real number (ℝ_≥0)

ZEROS

Distinct	99
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	87.50231358

Minimum	0
Maximum	4356
Zeros	46560
Zeros (%)	95.3%
Negative	0
Negative (%)	0.0%
Memory size	381.7 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	4356
Range	4356
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	403.0045521
Coefficient of variation (CV)	4.605644532
Kurtosis	20.01434595
Mean	87.50231358
Median Absolute Deviation (MAD)	0
Skewness	4.569808858
Sum	4273788
Variance	162412.669
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	46560	95.3%
1902	304	0.6%
1977	253	0.5%
1887	233	0.5%
2415	72	0.1%
1485	71	0.1%
1848	67	0.1%
1590	62	0.1%
1602	62	0.1%
1876	59	0.1%
Other values (89)	1099	2.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	46560	95.3%
155	1	< 0.1%
213	5	< 0.1%
323	5	< 0.1%
419	3	< 0.1%
625	17	< 0.1%
653	4	< 0.1%
810	2	< 0.1%
880	6	< 0.1%
974	2	< 0.1%

Value	Count	Frequency (%)
4356	3	< 0.1%
3900	2	< 0.1%
3770	4	< 0.1%
3683	2	< 0.1%
3175	2	< 0.1%
3004	5	< 0.1%
2824	14	< 0.1%
2754	2	< 0.1%
2603	7	< 0.1%
2559	17	< 0.1%

hours-per-week
Real number (ℝ_≥0)

Distinct	96
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	40.42238238

Minimum	1
Maximum	99
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	381.7 KiB

Quantile statistics

Minimum	1
5-th percentile	17.05
Q1	40
median	40
Q3	45
95-th percentile	60
Maximum	99
Range	98
Interquartile range (IQR)	5

Descriptive statistics

Standard deviation	12.39144402
Coefficient of variation (CV)	0.3065490774
Kurtosis	2.95105909
Mean	40.42238238
Median Absolute Deviation (MAD)	3
Skewness	0.2387496572
Sum	1974310
Variance	153.547885
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
40	22803	46.7%
50	4246	8.7%
45	2717	5.6%
60	2177	4.5%
35	1937	4.0%
20	1862	3.8%
30	1700	3.5%
55	1051	2.2%
25	958	2.0%
48	770	1.6%
Other values (86)	8621	17.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	27	0.1%
2	53	0.1%
3	59	0.1%
4	84	0.2%
5	95	0.2%
6	92	0.2%
7	45	0.1%
8	218	0.4%
9	27	0.1%
10	425	0.9%

Value	Count	Frequency (%)
99	137	0.3%
98	14	< 0.1%
97	2	< 0.1%
96	9	< 0.1%
95	2	< 0.1%
94	1	< 0.1%
92	3	< 0.1%
91	3	< 0.1%
90	42	0.1%
89	3	< 0.1%

native-country
Real number (ℝ)

HIGH CORRELATION

Distinct	42
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	35.74935506

Minimum	-1
Maximum	40
Zeros	28
Zeros (%)	0.1%
Negative	857
Negative (%)	1.8%
Memory size	47.8 KiB

Quantile statistics

Minimum	-1
5-th percentile	18
Q1	38
median	38
Q3	38
95-th percentile	38
Maximum	40
Range	41
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	7.775343161
Coefficient of variation (CV)	0.2174960401
Kurtosis	12.77229318
Mean	35.74935506
Median Absolute Deviation (MAD)	0
Skewness	-3.689528549
Sum	1746070
Variance	60.45596128
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
38	43832	89.7%
25	951	1.9%
-1	857	1.8%
29	295	0.6%
10	206	0.4%
32	184	0.4%
1	182	0.4%
7	155	0.3%
18	151	0.3%
4	138	0.3%
Other values (32)	1891	3.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
-1	857	1.8%
0	28	0.1%
1	182	0.4%
2	122	0.2%
3	85	0.2%
4	138	0.3%
5	103	0.2%
6	45	0.1%
7	155	0.3%
8	127	0.3%

Value	Count	Frequency (%)
40	23	< 0.1%
39	86	0.2%
38	43832	89.7%
37	27	0.1%
36	30	0.1%
35	65	0.1%
34	115	0.2%
33	21	< 0.1%
32	184	0.4%
31	67	0.1%

income
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	381.7 KiB

0	37155
1	11687

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	48842
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	37155	76.1%
1	11687	23.9%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0	37155	76.1%
1	11687	23.9%

Most occurring characters

Value	Count	Frequency (%)
0	37155	76.1%
1	11687	23.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	48842	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	37155	76.1%
1	11687	23.9%

Most occurring scripts

Value	Count	Frequency (%)
Common	48842	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	37155	76.1%
1	11687	23.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	48842	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	37155	76.1%
1	11687	23.9%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	age	workclass	fnlwgt	education	educational-num	marital-status	occupation	relationship	race	gender	capital-gain	hours-per-week	native-country	income
0	25	3	226802	1	7	4	6	3	2	1	0	40	38	0
1	38	3	89814	11	9	2	4	0	4	1	0	50	38	0
2	28	1	336951	7	12	2	10	0	4	1	0	40	38	1
3	44	3	160323	15	10	2	6	0	2	1	7688	40	38	1
4	18	-1	103497	15	10	4	-1	3	4	0	0	30	38	0
5	34	3	198693	0	6	4	7	1	4	1	0	30	38	0
6	29	-1	227026	11	9	4	-1	4	2	1	0	40	38	0
7	63	5	104626	14	15	2	9	0	4	1	3103	32	38	1
8	24	3	369667	15	10	4	7	4	4	0	0	40	38	0
9	55	3	104996	5	4	2	2	0	4	1	0	10	38	0

Last rows

	age	workclass	fnlwgt	education	educational-num	marital-status	occupation	relationship	race	gender	capital-gain	hours-per-week	native-country	income
48832	32	3	34066	0	6	2	5	0	0	1	0	40	38	0
48833	43	3	84661	8	11	2	11	0	4	1	0	45	38	0
48834	32	3	116138	12	14	4	12	1	1	1	0	11	35	0
48835	53	3	321865	12	14	2	3	0	4	1	0	40	38	1
48836	22	3	310152	15	10	4	10	1	4	1	0	40	38	0
48837	27	3	257302	7	12	2	12	5	4	0	0	38	38	0
48838	40	3	154374	11	9	2	6	0	4	1	0	40	38	1
48839	58	3	151910	11	9	6	0	4	4	0	0	40	38	0
48840	22	3	201490	11	9	4	0	3	4	1	0	20	38	0
48841	52	4	287927	11	9	2	3	5	4	0	15024	40	38	1

Most frequently occurring

	age	workclass	fnlwgt	education	educational-num	marital-status	occupation	relationship	race	gender	hours-per-week	native-country	# duplicates
12	21	3	243368	13	1	4	4	1	4	1	50	25	3
23	25	3	195994	3	2	4	8	1	4	0	40	12	3
24	25	3	308144	9	13	4	2	1	4	1	40	25	3
0	17	3	153021	2	8	4	11	3	4	0	20	38	2
1	18	4	378036	2	8	4	4	3	4	1	10	38	2
2	19	-1	167428	15	10	4	-1	3	4	1	40	38	2
3	19	3	97261	11	9	4	4	1	4	1	40	38	2
4	19	3	130431	4	3	4	4	1	4	1	36	25	2
5	19	3	138153	15	10	4	0	3	4	0	10	38	2
6	19	3	139466	15	10	4	11	3	4	0	25	38	2

Overview

Variables

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Interactions

Correlations

Spearman's ρ

Pearson's r

Kendall's τ

Cramér's V (φc)

Phik (φk)

Missing values

Sample

First rows

Last rows

Duplicate rows

Most frequently occurring